Azure Data Engineer

We are seeking an experienced Azure Data Engineer to provide technical support and optimization for enterprise data solutions on Azure. The role focuses on resolving customer issues, performing root cause analysis, and ensuring secure, high-performance data pipelines across Azure Synapse Analytics, Azure Data Factory, Azure Databricks, and Cosmos DB.

Key Responsibilities

• Customer Issue Resolution:

• Act as the primary technical contact for customer-reported issues on Azure Synapse Analytics, Azure Data Factory, Azure Databricks, and Cosmos DB.
• Analyze and resolve data ingestion, transformation, and query performance issues using SQL, PySpark, and Azure-native tools.
• Provide timely solutions, workarounds, or guidance aligned with Microsoft support standards.

• Root Cause Analysis & Preventive Actions:

• Conduct deep-dive investigations into recurring or complex issues.
• Use telemetry, logs, and diagnostic tools to identify root causes.
• Recommend and implement preventive measures to reduce future incidents.

• Service Health Monitoring & Optimization:

• Monitor health and performance of data pipelines and analytics workloads.
• Optimize resource usage and query performance in Synapse and Databricks.
• Ensure data flows are resilient, scalable, and cost-effective.

• Secure Data Architecture Support:

• Assist customers in implementing and troubleshooting secure data lake architectures using Azure Storage Gen2.
• Ensure compliance with data security policies, encryption standards, and access controls.

• Integration & Connectivity Troubleshooting:

• Resolve issues related to data movement between services like Cosmos DB, Azure SQL, Blob Storage, and Power BI.
• Support hybrid and multi-cloud data integration scenarios.

• Power BI Support:

• Assist with data model issues, refresh failures, and performance bottlenecks in Power BI reports.
• Guide customers on best practices for data visualization and report optimization.

• Documentation & Knowledge Sharing:

• Create and maintain technical documentation, runbooks, and troubleshooting guides.
• Contribute to internal knowledge bases and public-facing support articles.

• Collaboration & Escalation Management:

• Collaborate with product engineering teams for bug fixes and feature requests.
• Escalate critical issues appropriately while maintaining clear customer communication.

• Customer Communication & Satisfaction:

• Communicate clearly and empathetically with customers, ensuring technical concepts are understood.
• Maintain high customer satisfaction through proactive support and solution delivery.